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    A method for reducing the number of reliability formulae in reliability expression of weighted-k-out-of-n system

    117440_6670_Reducing.pdf (2.626Mb)
    Access Status
    Open access
    Authors
    Higashiyama, Yoichi
    Rumchev, Ventseslav
    Date
    2008
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Higashiyama, Yoichi and Rumchev, Ventseslav. 2008. A method for reducing the number of reliability formulae in reliability expression of weighted-k-out-of-n system. International Journal of Performability Engineering 4 (1): pp. 19-29.
    Source Title
    International Journal of Performability Engineering
    Additional URLs
    http://www.ijpe-online.com/p2-a-method-for-reducing-the-number-of-reliability-formulae-in-reliability-expression-of-weighted-k-out-of-n-system.html#axzz3yWMRSLnA
    ISSN
    0973-1318
    School
    Department of Mathematics and Statistics
    Remarks

    International Journal of Performability Engineering is published by RAMS Consultants: http://www.ramsconsultants.com/

    The link to the International Journal of Performability Engineering is available on: http://www.ijpe-online.com/All-issues-of-International-Journal-of-performability-Engineering

    Published with permission

    URI
    http://hdl.handle.net/20.500.11937/44577
    Collection
    • Curtin Research Publications
    Abstract

    A weighted version of the k-out–of–n system is considered. In the disjoint products version of reliability analysis of weighted–k-out–of– n systems, it is necessary to determine the order in which the weight of components is to be considered. The k–out–of–n :G(F) system consists of n components; each component has its own probability and positive integer weight such that the system is operational (failed) if and only if the total weight of some operational (failure) components is at least k. This paper designs a method to compute the reliability in computing time and in memory space. The proposed method expresses the system reliability in fewer reliability formulae than those already published.

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